977ed18d
 Hu Chunming
提交三方库
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//
// Copyright 2020 Debabrata Mandal <mandaldebabrata123@gmail.com>
//
// Distributed under the Boost Software License, Version 1.0
// See accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt
//
#include <boost/gil.hpp>
#include <boost/gil/extension/io/png.hpp>
#include <boost/gil/io/read_image.hpp>
#include <iostream>
using namespace boost::gil;
// Explains how to use the histogram class and some of its features
// that can be applied for a variety of tasks.
// See also:
// histogram_equalization.cpp - Regular Histogram Equalization
// adaptive_histogram_equalization.cpp - Adaptive Histogram Equalization
// histogram_matching.cpp - Reference-based histogram computation
int main()
{
// Create a histogram class. Use uint or unsigned short as the default axes type in most cases.
histogram<unsigned char> h;
// Fill histogram with GIL images (of any color space)
gray8_image_t g;
read_image("test_adaptive.png", g, png_tag{});
fill_histogram
(
view(g), // Input image view
h, // Histogram to be filled
1, // Histogram bin widths
false, // Specify whether to accumulate over the values already present in h (default = false)
true, // Specify whether to have a sparse (true) or continuous histogram (false) (default = true)
false, // Specify if image mask is to be specified
{{}}, // Mask as a 2D vector. Used only if prev argument specified
{0}, // Lower limit on the values in histogram (default numeric_limit::min() on axes)
{255}, // Upper limit on the values in histogram (default numeric_limit::max() on axes)
true // Use specified limits if this is true (default is false)
);
// Normalize the histogram
h.normalize();
// Get a cumulative histogram from the histogram
auto h2 = cumulative_histogram(h);
return 0;
}
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